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README.md

@@ -7,3 +7,7 @@ sdk: gradio
 app_file: app.py
 pinned: false
 ---
+
+# Tiny Sentence Transformer
+
+A tiny character-level transformer trained on a Shakespeare corpus.

app.py

@@ -1,6 +1,6 @@
 import gradio as gr
+import spaces
 from pathlib import Path
-
 from src.infra.tokenizer import CharacterTokenizer
 from src.task.config import ModelConfig
 from src.task.model import load_model
@@ -61,7 +61,7 @@ text_generator = TextGenerator(
 # --------------------------------------------------
 # Gradio function
 # --------------------------------------------------
-
+@spaces.GPU
 def generate_text(
     prompt,
     max_new_tokens,

pyproject.toml

@@ -5,5 +5,6 @@ requires-python = ">=3.14"
 dependencies = [
     "gradio>=6.26.0",
     "numpy>=2.5.2",
+    "spaces>=0.51.2",
     "torch>=2.13.0",
 ]

src/task/inference.py

@@ -10,11 +10,23 @@ class TextGenerator:
         model,
         tokenizer,
         context_length,
+        device=None,
     ):
         self.model = model
         self.tokenizer = tokenizer
         self.context_length = context_length
 
+        if device is None:
+            device = (
+                "cuda"
+                if torch.cuda.is_available()
+                else "cpu"
+            )
+
+        self.device = torch.device(device)
+
+        self.model.to(self.device)
+
         self.model.eval()
 
     @torch.no_grad()
@@ -28,6 +40,7 @@ class TextGenerator:
         prompt_tokens = torch.tensor(
             [self.tokenizer.encode(prompt)],
             dtype=torch.long,
+            device=self.device,
         )
 
         generated_tokens = generator(

uv.lock

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 ]
 
+[[package]]
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+[[package]]
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+version = "2.34.2"
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+dependencies = [
+    { name = "certifi" },
+    { name = "charset-normalizer" },
+    { name = "idna" },
+    { name = "urllib3" },
+]
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 name = "rich"
 version = "15.0.0"
@@ -987,6 +1096,23 @@ wheels = [
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+[[package]]
+name = "spaces"
+version = "0.51.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "gradio" },
+    { name = "httpx" },
+    { name = "packaging" },
+    { name = "pydantic" },
+    { name = "requests" },
+    { name = "typing-extensions" },
+]
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+wheels = [
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+]
+
 [[package]]
 name = "starlette"
 version = "1.6.0"
@@ -1018,6 +1144,7 @@ source = { virtual = "." }
 dependencies = [
     { name = "gradio" },
     { name = "numpy" },
+    { name = "spaces" },
     { name = "torch" },
 ]
 
@@ -1025,6 +1152,7 @@ dependencies = [
 requires-dist = [
     { name = "gradio", specifier = ">=6.26.0" },
     { name = "numpy", specifier = ">=2.5.2" },
+    { name = "spaces", specifier = ">=0.51.2" },
     { name = "torch", specifier = ">=2.13.0" },
 ]
 
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 ]
 
+[[package]]
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+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/53/0c/06f8b233b8fd13b9e5ee11424ef85419ba0d8ba0b3138bf360be2ff56953/urllib3-2.7.0.tar.gz", hash = "sha256:231e0ec3b63ceb14667c67be60f2f2c40a518cb38b03af60abc813da26505f4c", size = 433602, upload-time = "2026-05-07T16:13:18.596Z" }
+wheels = [
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+]
+
 [[package]]
 name = "uvicorn"
 version = "0.52.4"